Software Engineer (Big Data)

**Big Data Engineer (Java Backend)** 📍 **São Paulo, Brazil** 💰 **Compensation:** \~$2,200 USD/month (as FTE) **What You’ll Do** * Develop and enhance backend services using **Java** , contributing across the full product lifecycle. * Work directly with **Big Data pipelines** using **Hadoop, MapReduce, and Spark** (current systems run on MapReduce, with active migration to Spark). * Collaborate with product, design, and client teams to understand user impact and translate requirements into scalable technical solutions. * Improve performance, reliability, and maintainability of large\-scale distributed systems. * Apply automation where beneficial and contribute to continuous system improvements. * Communicate technical decisions clearly, including the ability to describe and interpret **system diagrams** and architectural flows. **What We’re Looking For** * **3–5 years of experience** in backend engineering with strong proficiency in **Java** . * Hands\-on experience with **Big Data technologies** : Hadoop, Spark, and/or MapReduce. * Ability to build, optimize, and maintain distributed systems that handle large data volumes. * Strong communication skills, especially to explain architecture, data flow, and user impact. * Experience working on **consumer\-facing or large\-scale product environments** . * Familiarity with Big Data tooling (e.g., Power BI, data pipelines) is a plus. * Experience with basic automation is helpful (testing is not a core requirement). **Who Will Thrive in This Role** * Engineers who have *real* hands\-on Big Data experience—not just surface\-level exposure. * Professionals who understand how backend decisions affect user experience. * Those with experience in industries similar to large\-scale consumer tech, social platforms, AI\-driven products, or high\-traffic data ecosystems (e.g., recommendation systems, content discovery, digital media platforms).